inferenceillusionist/llama-3-70b-instruct-storywriter-imat-gguf IQ3_XS GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
inferenceillusionist/llama-3-70b-instruct-storywriter-imat-gguf overview
Special request. Quantized from fp32 with love. If you can't fit IQ quants in your VRAM, try using the K quants in this repo instead. The .imatrix file in this repo was created using the Q8_0 quantization of Llama-3-70B-Instruct-Storywriter-iMat-GGUF. Calculated in 88 chunks with nctx=512 using groupsmerged.txt For a brief rundown of iMatrix quant performance please see this PR All quants are verified working prior to uploading to repo for your safety and convenience. Tip: Pick a file size under your GPU's VRAM while still allowing some room for context for best speed. You may need to pad this further depending on if you are running image gen or TTS as well. BFloat16 model card can be found here
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Llama-3-70B-Instruct-Storywriter-iMat-IQ1_M.gguf | GGUF | IQ1_M | 15.60 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ2_M.gguf | GGUF | IQ2_M | 22.46 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ2_S.gguf | GGUF | IQ2_S | 20.71 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ2_XS.gguf | GGUF | IQ2_XS | 19.69 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ2_XXS.gguf | GGUF | IQ2_XXS | 17.79 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ3_M.gguf | GGUF | IQ3_M | 29.74 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ3_S.gguf | GGUF | IQ3_S | 28.79 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ3_XS.gguf | GGUF | IQ3_XS | 27.29 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ3_XXS.gguf | GGUF | IQ3_XXS | 25.58 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-IQ4_XS.gguf | GGUF | IQ4_XS | 35.30 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q2_K.gguf | GGUF | Q2_K | 24.56 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q3_K_M.gguf | GGUF | Q3_K_M | 31.91 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q4_K_M.gguf | GGUF | Q4_K_M | 39.60 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q4_K_S.gguf | GGUF | Q4_K_S | 37.58 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q5_K_M.gguf | GGUF | Q5_K_M | 46.52 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q5_K_S.gguf | GGUF | Q5_K_S | 45.32 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q6_K-00001-of-00002.gguf | GGUF | Q6_K | 43.95 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q6_K-00002-of-00002.gguf | GGUF | Q6_K | 9.96 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q8_0-00001-of-00002.gguf | GGUF | — | 43.85 GB | Download |
| Llama-3-70B-Instruct-Storywriter-iMat-Q8_0-00002-of-00002.gguf | GGUF | — | 25.98 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"tags": [
"merge",
"gguf",
"llama3",
"iMat"
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"frontmatter": {
"tags": [
"merge",
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"llama3",
"iMat"
]
},
"hero_image_url": "https://i.imgur.com/P68dXux.png",
"summary": "Special request. Quantized from fp32 with love. If you can't fit IQ quants in your VRAM, try using the K quants in this repo instead. * The .imatrix file in this repo was created using the Q8_0 quantization of Llama-3-70B-Instruct-Storywriter-iMat-GGUF. * Calculated in 88 chunks with n_ctx=512 using groups_merged.txt For a brief rundown of iMatrix quant performance please see this PR All quants are verified working prior to uploading to repo for your safety and convenience. Tip: Pick a file size under your GPU's VRAM while still allowing some room for context for best speed. You may need to pad this further depending on if you are running image gen or TTS as well. BFloat16 model card can be found here",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\ntags:\n- merge\n- gguf\n- llama3\n- iMat\n---\n<img src=\"https://i.imgur.com/P68dXux.png\" width=\"400\"/>\n\n# Llama-3-70B-Instruct-Storywriter-iMat-GGUF\n\n\n<b>Special request.</b> Quantized from fp32 with love. If you can't fit IQ quants in your VRAM, try using the K quants in this repo instead.\n* The [.imatrix](https://huggingface.co/InferenceIllusionist/Llama-3-70B-Instruct-Storywriter-iMat-GGUF/resolve/main/Llama-3-70B-Instruct-Storywriter.imatrix?download=true) file in this repo was created using the Q8_0 quantization of Llama-3-70B-Instruct-Storywriter-iMat-GGUF.\n* Calculated in 88 chunks with n_ctx=512 using groups_merged.txt\n\nFor a brief rundown of iMatrix quant performance please see this [PR](https://github.com/ggerganov/llama.cpp/pull/5747)\n\n<i>All quants are verified working prior to uploading to repo for your safety and convenience. </i>\n\n\n<b>Tip:</b> Pick a file size under your GPU's VRAM while still allowing some room for context for best speed. You may need to pad this further depending on if you are running image gen or TTS as well.\n\nBFloat16 model card can be found [here](https://huggingface.co/tdrussell/Llama-3-70B-Instruct-Storywriter)",
"related_quantizations": []
},
"tags": [
"gguf",
"merge",
"llama3",
"iMat",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 0,
"downloads": 241,
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"last_modified": "2024-05-11T19:25:28.000Z",
"created_at": "2024-05-01T08:42:19.000Z",
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Source payload excerpt (from Hugging Face API)
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